offline_ml_pipeline 0.1.0 copy "offline_ml_pipeline: ^0.1.0" to clipboard
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Train, validate, and export ML models on-device from CSV to .tflite with full privacy—no server or internet, powered by ONNX Runtime and Dart FFI.

Use this package as a library

Depend on it

Run this command:

With Flutter:

 $ flutter pub add offline_ml_pipeline

This will add a line like this to your package's pubspec.yaml (and run an implicit flutter pub get):

dependencies:
  offline_ml_pipeline: ^0.1.0

Alternatively, your editor might support flutter pub get. Check the docs for your editor to learn more.

Import it

Now in your Dart code, you can use:

import 'package:offline_ml_pipeline/offline_ml_pipeline.dart';
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Train, validate, and export ML models on-device from CSV to .tflite with full privacy—no server or internet, powered by ONNX Runtime and Dart FFI.

Repository (GitHub)
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Topics

#machine-learning #on-device #flutter #dart-ffi #offline-ai

License

MIT (license)

Dependencies

archive, async, collection, csv, ffi, flat_buffers, flutter, path, path_provider

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Packages that depend on offline_ml_pipeline

Packages that implement offline_ml_pipeline